We conducted a prospective-retrospective two-center cohort study involving 364 participants. The Discovery Cohort (n=282) enrolled from two centers consisted of healthy controls (n=80), patients with type 2 diabetes mellitus (T2DM) without kidney disease (n=102), and patients with confirmed DKD (...
BACKGROUND: Endometriosis is a common benign gynaecological disorder. A number of studies have confirmed that the occurrence of disease in endometriosis patients is associated with metabolic changes in biological fluids and tissues. We set out to investigate the metabolic charact...
INTRODUCTION: Type 2 Diabetes mellitus (T2DM) is a chronic metabolic disorder characterized by insulin resistance and hyperglycemia, often preceded by latent metabolic disruptions. Early detection of metabolic alterations can facilitate timely intervention to delay or prevent T2DM onset. Metaboli...
Data-independent acquisition mass spectrometry (DIA-MS) is essential for information-rich spectral annotations in untargeted metabolomics. However, the acquired MS2 spectra are highly complex, posing significant annotation challenges. We have developed a correlation-based deconvolution (CorrDec) ...
BACKGROUND & AIMS: The effectiveness of surveillance for hepatocellular carcinoma (HCC) in patients with cirrhosis is limited, due to inadequate risk stratification and suboptimal performance of current screening modalities.
METHODS: We developed a mult...
Data-independent acquisition mass spectrometry (DIA-MS) is essential for information-rich spectral annotations in untargeted metabolomics. However, the acquired MS2 spectra are highly complex, posing significant annotation challenges. We have developed a correlation-based deconvolution (CorrDec) ...
Study question: Can a novel machine learning pipeline create predictive models that identify a composite biomarker to differentiate live normally sited pregnancies (LNSP) from non-viable pregnancies in women presenting with pain and/or bleeding in early gestation?
Summary answer: Serum met...
Aging has shown close link to shifts in the skin microbiome in population cohort study. However, how variations in microbial communities relate to divergent skin aging within individuals of the same chronological ages remains unclear. In this study, we performed phenotypic, metabolomic and metage...